Computer vision system for the chess game reconstruction. - Matija Piskorec; Nino Antulov-Fantulin; J. Curic; Ognjen Dragoljevic; Vedran Ivanac; Luka Karlovic (MIPRO, 2011)

Epidemic centrality and the underestimated epidemic impact on network peripheral nodes - Mile Sikic; Alen Lancic; Nino Antulov-Fantulin; Hrvoje Stefancic (CoRR, 2011)

Memory biased random walk approach to synthetic clickstream generation - Nino Antulov-Fantulin; Matko Bosnjak; Vinko Zlatic; Miha Grcar; Tomislav Smuc (CoRR, 2012)

FastSIR Algorithm: A Fast Algorithm for simulation of epidemic spread in large networks by using SIR compartment model - Nino Antulov-Fantulin; Alen Lancic; Hrvoje Stefancic; Mile Sikic (CoRR, 2012)

FastSIR algorithm: A fast algorithm for the simulation of the epidemic spread in large networks by using the susceptible-infected-recovered compartment model. - Nino Antulov-Fantulin; Alen Lancic; Hrvoje Stefancic; Mile Sikic (Inf. Sci., 2013)

Synthetic Sequence Generator for Recommender Systems - Memory Biased Random Walk on a Sequence Multilayer Network. - Nino Antulov-Fantulin; Matko Bosnjak; Vinko Zlatic; Miha Grcar; Tomislav Smuc (Discovery Science, 2014)

Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures. - Nino Antulov-Fantulin; Alen Lancic; Hrvoje Stefancic; Mile Sikic; Tomislav Smuc (SASO Workshops, 2014)

Detectability limits of epidemic sources in networks. - Nino Antulov-Fantulin; Alen Lancic; Tomislav Smuc; Hrvoje Stefancic; Mile Sikic (CoRR, 2014)

News Cohesiveness: an Indicator of Systemic Risk in Financial Markets. - Matija Piskorec; Nino Antulov-Fantulin; Petra Kralj Novak; Igor Mozetic; Miha Grcar; Irena Vodenska; Tomislav Smuc (CoRR, 2014)

Time augmented bond percolation mapping of spreading dynamics on networks. - Nino Antulov-Fantulin; Dijana Tolic (CoRR, 2016)

Modeling peer and external influence in online social networks. - Matija Piskorec; Nino Antulov-Fantulin; Iva Miholic; Tomislav Smuc; Mile Sikic (CoRR, 2016)

Modeling Peer and External Influence in Online Social Networks: Case of 2013 Referendum in Croatia. - Matija Piskorec; Nino Antulov-Fantulin; Iva Miholic; Tomislav Smuc; Mile Sikic (COMPLEX NETWORKS, 2017)

Fast clustering in linear 1D subspaces: segmentation of microscopic image of unstained specimens. - Ivica Kopriva; Maria Brbic; Dijana Tolic; Nino Antulov-Fantulin; Xinjian Chen 001 (Digital Pathology, 2017)

Learning from Incomplete Ratings using Nonlinear Multi-layer Semi-Nonnegative Matrix Factorization. - Vaibhav Krishna; Nino Antulov-Fantulin (CoRR, 2017)

Inferring Short-Term Volatility Indicators from the Bitcoin Blockchain. - Nino Antulov-Fantulin; Dijana Tolic; Matija Piskorec; Ce Zhang 001; Irena Vodenska (COMPLEX NETWORKS (2), 2018)

Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders. - Tian Guo 002; Albert Bifet; Nino Antulov-Fantulin (ICDM, 2018)

Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings. - Vaibhav Krishna; Tian Guo 002; Nino Antulov-Fantulin (ICDM Workshops, 2018)

Underestimated Cost of Targeted Attacks on Complex Networks. - Xiao-Long Ren; Niels Gleinig; Dijana Tolic; Nino Antulov-Fantulin (Complex., 2018)

Generalized Network Dismantling. - Xiao-Long Ren; Niels Gleinig; Dirk Helbing; Nino Antulov-Fantulin (CoRR, 2018)

Predicting short-term Bitcoin price fluctuations from buy and sell orders. - Tian Guo 002; Nino Antulov-Fantulin (CoRR, 2018)

A nonlinear orthogonal non-negative matrix factorization approach to subspace clustering. - Dijana Tolic; Nino Antulov-Fantulin; Ivica Kopriva (Pattern Recognit., 2018)

Ensemble Approach for Generalized Network Dismantling. - Xiao-Long Ren; Nino Antulov-Fantulin (COMPLEX NETWORKS (1), 2019)

Exploring interpretable LSTM neural networks over multi-variable data. - Tian Guo 002; Tao Lin 004; Nino Antulov-Fantulin (ICML, 2019)

Sensing Social Media Signals for Cryptocurrency News. - Johannes Beck; Roberta Huang; David Lindner; Tian Guo 002; Ce Zhang 001; Dirk Helbing; Nino Antulov-Fantulin (WWW (Companion Volume), 2019)

Statistical embedding for directed graphs. - Thorben Funke; Tian Guo 002; Alen Lancic; Nino Antulov-Fantulin (CoRR, 2019)

Low-dimensional statistical manifold embedding of directed graphs. - Thorben Funke; Tian Guo 002; Alen Lancic; Nino Antulov-Fantulin (ICLR, 2020)

Unifying susceptible-infected-recovered processes on networks. - Lucas Böttcher; Nino Antulov-Fantulin (CoRR, 2020)

NNC: Neural-Network Control of Dynamical Systems on Graphs. - Thomas Asikis; Lucas Böttcher; Nino Antulov-Fantulin (CoRR, 2020)

On the impact of publicly available news and information transfer to financial markets. - Metod Jazbec; Barna Pásztor; Felix Faltings; Nino Antulov-Fantulin; Petter N. Kolm (CoRR, 2020)

Implicit energy regularization of neural ordinary-differential-equation control. - Lucas Böttcher; Nino Antulov-Fantulin; Thomas Asikis (CoRR, 2021)

Information dynamics of price and liquidity around the 2017 Bitcoin markets crash. - Vaiva Vasiliauskaite; Fabrizio Lillo; Nino Antulov-Fantulin (CoRR, 2021)

Topic Community Based Temporal Expertise for Question Routing. - Vaibhav Krishna; Vaiva Vasiliauskaite; Nino Antulov-Fantulin (CoRR, 2022)

Simplifying Sparse Expert Recommendation by Revisiting Graph Diffusion. - Vaibhav Krishna; Nino Antulov-Fantulin (CoRR, 2022)

Question routing via activity-weighted modularity-enhanced factorization. - Vaibhav Krishna; Vaiva Vasiliauskaite; Nino Antulov-Fantulin (Soc. Netw. Anal. Min., 2022)

Temporal-Weighted Bipartite Graph Model for Sparse Expert Recommendation in Community Question Answering. - Vaibhav Krishna; Nino Antulov-Fantulin (UMAP, 2023)

Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data. - M. Eren Akbiyik; Mert Erkul; Killian Kämpf; Vaiva Vasiliauskaite; Nino Antulov-Fantulin (WSDM, 2023)

Universality of neural dynamics on complex networks. - Vaiva Vasiliauskaite; Nino Antulov-Fantulin (CoRR, 2023)